20 research outputs found

    Effects of polymeric additives on the likelihood and/or severity of vapor explosions

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    Issued as Report, Project E-25-645Report has author: Michael F. DowlingReport has title: Effects of polymeric additives on the likelihood and/or severity of vapor explosions

    Experimental facility for spray visualization and performance assessment

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    Issued as final repor

    Thermal performance of helium-cooled divertors for magnetic fusion applications

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    Issued as final reportForschunszentrum Karlsruhe GMB

    Manned spacecraft external thermal control using the Johnson tube heat pump

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    Issued as Final report, Project E-25-W41Final report has author: L.G. Johnso

    Investigation of 100 CM2 test hardware hydraulic characteristics Via theoretical, experimental, and numerical tools

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    Issued as Monthly budget reports [nos. 1-9], Task report, Quarterly progress reports [nos. 1-2], Draft outling, and Final report, Project E-25-A04Final report has author: Dennis L. Sadowski

    Goddard Expansion and Kinetic-Theory for Solutions of Rodlike Macromolecules

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    Bayesian Parameter Estimation of the <i>k</i>-ω Shear Stress Transport Model for Accurate Simulations of Impinging-Jet Heat Transfer

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    Given the lack of fusion-relevant component test facilities, current estimates of the thermo-fluid performance of plasma-facing components are based for the most part on numerical simulations. A major source of uncertainty in these simulations is the semiempirical turbulence (closure) models for the Reynolds stresses appearing in the governing Reynolds-averaged Navier-Stokes equations, which involve a set of constants that depend upon the flow. The objective of this study is to evaluate Bayesian parameter estimation of turbulence closure constants in ANSYS Fluent to model heat transfer in impinging jets. The Bayesian statistical calibration produces a probability distribution for these constants from experimental data; the maximum a posteriori estimates are then taken to be the calibrated constants, or parameters. The turbulence model constants are calibrated using an experimental study of a submerged jet of air impinging on a flat heated surface at Reynolds numbers Re = O(104) and impingement distance in jet diameters H/d = 2. Numerical predictions using the calibrated model parameters are then compared with those generated using the default constants. Predictions obtained with model parameters calibrated on datasets of two different sizes are compared to evaluate the effect of the number of calibration samples. Finally, the extrapolative ability of the calibrated model is examined by predictions at a Re beyond the calibration values.</p
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